Correlation Between Bayrak EBT and Sok Marketler
Can any of the company-specific risk be diversified away by investing in both Bayrak EBT and Sok Marketler at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bayrak EBT and Sok Marketler into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bayrak EBT Taban and Sok Marketler Ticaret, you can compare the effects of market volatilities on Bayrak EBT and Sok Marketler and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Bayrak EBT with a short position of Sok Marketler. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bayrak EBT and Sok Marketler.
Diversification Opportunities for Bayrak EBT and Sok Marketler
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bayrak and Sok is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Bayrak EBT Taban and Sok Marketler Ticaret in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sok Marketler Ticaret and Bayrak EBT is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Bayrak EBT Taban are associated (or correlated) with Sok Marketler. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sok Marketler Ticaret has no effect on the direction of Bayrak EBT i.e., Bayrak EBT and Sok Marketler go up and down completely randomly.
Pair Corralation between Bayrak EBT and Sok Marketler
Assuming the 90 days trading horizon Bayrak EBT Taban is expected to generate 1.19 times more return on investment than Sok Marketler. However, Bayrak EBT is 1.19 times more volatile than Sok Marketler Ticaret. It trades about 0.02 of its potential returns per unit of risk. Sok Marketler Ticaret is currently generating about 0.01 per unit of risk. If you would invest 1,783 in Bayrak EBT Taban on September 23, 2024 and sell it today you would earn a total of 8.00 from holding Bayrak EBT Taban or generate 0.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bayrak EBT Taban vs. Sok Marketler Ticaret
Performance |
Timeline |
Bayrak EBT Taban |
Sok Marketler Ticaret |
Bayrak EBT and Sok Marketler Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bayrak EBT and Sok Marketler
The main advantage of trading using opposite Bayrak EBT and Sok Marketler positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bayrak EBT position performs unexpectedly, Sok Marketler can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Sok Marketler will offset losses from the drop in Sok Marketler's long position.Bayrak EBT vs. Desa Deri Sanayi | Bayrak EBT vs. Derimod Konfeksiyon Ayakkabi | Bayrak EBT vs. Mackolik Internet Hizmetleri | Bayrak EBT vs. Ford Otomotiv Sanayi |
Sok Marketler vs. Trabzon Liman Isletmeciligi | Sok Marketler vs. Bayrak EBT Taban | Sok Marketler vs. Alkim Kagit Sanayi | Sok Marketler vs. Federal Mogul Izmit |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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